We put 12 frontier LLMs, including Opus 4.7, GPT 5.5, Gemini 3.1 Pro, and DeepSeek 4 Pro, through 26 real-world attack campaigns. 858 runs. 105 MITRE ATT&CK procedures. Zero models passed. Along the way, we caught them cheating, reward-hacking, bypassing constraints, losing evidence, and just giving up.  

Your SOC needs AI, but standalone LMMs are not the answer. Join us for this webinar to find out what LLMs can and can’t do in your SOC, and how to use them to keep your organization secure. 

Key Takeaways: 

• How the top LLMs actually compare on coverage, cost, and speed — Opus 4.6 leads at 45% coverage but costs 17× more than Gemini 3 Flash, which finds 3× fewer threats. See all the details.

• The 5 failure modes every security leader needs to know — reward hacking, constraint bypass, mental math failures, saying-not-doing, and “agentsplaining” — with real agent traces from the benchmark, not theory.

• Harnessing the power of LLMs with context and training – LLM-armed attacks need LLM-powered response. The right harness can bridge the gap between models and threats.

• A vendor evaluation framework you can use immediately — Walk away knowing exactly what to ask any vendor claiming AI-driven SOC automation.

Join the Simbian Research Lab team that ran the world’s first Cyber Defense Benchmark and hear first for yourself what to expect from LLMs in your SOC and how to get the most from them.